squad2-trained-ep4-batch16-finetuned-squad2-emrQA-msquad
This model was trained from scratch on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.0319
Model description
More information needed
Intended uses & limitations
More information needed
Training and evaluation data
More information needed
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 2e-05
- train_batch_size: 32
- eval_batch_size: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.2089 | 1.0 | 7836 | 0.1292 |
| 0.077 | 2.0 | 15672 | 0.0484 |
| 0.0357 | 3.0 | 23508 | 0.0319 |
Framework versions
- Transformers 4.41.2
- Pytorch 1.13.1+cu116
- Datasets 2.19.2
- Tokenizers 0.19.1
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